Course Name: Supply Chain Analytics

Course abstract

In present time of intense global competition, customers are demanding more and more variety, with better quality and service at lowest cost. This means that in order to be successful, firms need to develop supply chain strategies and logistical capabilities that serve the needs of their customers whilst maximizing overall profitability. All supply chains, in order to function properly, must focus on the huge opportunity that exists in their analytics. Specific objectives: On successfully completing this course you will be able to: • Understand the importance of the basics of Business Analytics and Optimization • Understand the importance of the basics of Supply Chain Analytics and Optimization • Analyze the level of uncertainty associated with the supply of products and services to targeted customer segments and justify the choice of a supply chain strategy and its fit with competitive strategy. • Explain the role and applications of Descriptive Analytics in a Supply Chain • Explain the role and applications of Predictive Analytics in a Supply Chain • Explain the role and applications of Prescriptive Analytics in a Supply Chain • Learn the basics of Modeling through R Language


Course Instructor

Media Object

Prof. Rajat Agrawal

Dr. Rajat Agrawal is a member of faculty (Associate Professor) at Department of Management Studies, Indian Institute of Technology Roorkee, Roorkee. He is associate faculty member at Center of Excellence for Disaster mitigation and Management and Center of Excellence for Transportation Management, IIT Roorkee. He administers various initiatives of IIT Roorkee in the field of IPR, incubation and entrepreneurship in different capacities.Dr. Rajat is a visiting fellow to Copenhagen Business School, Copenhagen, Denmark. His area of interest is Production and Operations Management including Supply Chain Management, Manufacturing Strategy and World Class Manufacturing. He has guided twelve Ph D thesis in these areas and published papers in journals of Emerald, Sage, Springer, Taylor and Francis, Elsevier, and Inderscience. He has more than 60 research papers in refereed journals and more than 25 research papers in refereed conference proceedings.


Teaching Assistant(s)

Sudeshna Rath

P.hD

Smeetasree Pati

P.hD

 Course Duration : Jan-Mar 2020

  View Course

 Enrollment : 18-Nov-2019 to 03-Feb-2020

 Exam registration : 16-Dec-2019 to 21-Feb-2020

 Exam Date : 29-Mar-2020

Enrolled

2823

Registered

67

Certificate Eligible

50

Certified Category Count

Gold

0

Silver

18

Elite

13

Successfully completed

19

Participation

3

Success

Elite

Silver

Gold





Legend

AVERAGE ASSIGNMENT SCORE >=10/25 AND EXAM SCORE >= 30/75 AND FINAL SCORE >=40
BASED ON THE FINAL SCORE, Certificate criteria will be as below:
>=90 - Elite + Gold
75-89 -Elite + Silver
>=60 - Elite
40-59 - Successfully Completed

Final Score Calculation Logic

  • Assignment Score = Average of best 6 out of 8 assignments.
  • Final Score(Score on Certificate)= 75% of Exam Score + 25% of Assignment Score
Supply Chain Analytics - Toppers list

DR. SUNIL LUTHRA 86%

GOVT. POLYTECHNIC , JHAJJAR

RUPESH BAHADUR SINGH 86%

Netsurf Communications Pvt. Ltd.

HARI PRASANTH D 86%

SASTRA DEEMED TO BE UNIVERSITY

Enrollment Statistics

Total Enrollment: 2823

Registration Statistics

Total Registration : 601

Assignment Statistics




Assignment

Exam score

Final score

Score Distribution Graph - Legend

Assignment Score: Distribution of average scores garnered by students per assignment.
Exam Score : Distribution of the final exam score of students.
Final Score : Distribution of the combined score of assignments and final exam, based on the score logic.